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beBeeSoftwareDeveloper

High Performance Computing Software Expert

beBeeSoftwareDeveloper • Bengaluru, Karnataka • via BeBee

23 hours ago

₹1.5Cr–₹2Cr a year

Full–time

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Job description

Job Overview

We're looking for a seasoned software developer with expertise in High Performance Computing (HPC) technologies to join our team.

The ideal candidate will have a strong background in HPC, with experience in designing and developing scalable and fault-tolerant software solutions deployed on supercomputing infrastructures.

Key Responsibilities

• Design and develop software solutions and services for HPC infrastructure running EDA workflows and AI workloads.

• Identify opportunities and deliver solutions for EDA workflow optimizations.

• Provide HPC expertise across portfolio of projects, guiding and mentoring a team of software developers as needed.

• Execute projects in partnership with global Engineering teams.

• Manage and track the software development process from development to production release in collaboration with other software developers.

Requirements

• 10+ years of hands-on experience in developing software solutions for HPC grid infrastructure.

• Broad knowledge of latest compute, storage and networking architectures.

• Experience of building HPC infrastructure in public cloud environments such as AWS, Azure or Google Cloud.

• Proven expertise in parallel and distributed programming, GPU computing and performance engineering.

• Proficiency in programming languages such as Python, C++, Java, Rust.

• Deep understanding of HPC job schedulers such as LSF, Slurm and PBS.

• Familiarity with EDA and semiconductor design process.

• Exposure to AI and ML workloads running on HPC infrastructure.

• Expertise in software lifecycle management, version control, and CI/CD best practices for quality, agility and security.

• Ability to explain technical concepts and analysis implications in a clear manner to a wide audience.

• Bachelor's or Master's degree in Computer Science, Computational Science or related field.

Minimum Qualifications

• 5+ years of IT-relevant work experience with Bachelor's degree in a technical field (e.g., Computer Engineering, Computer Science, Information Systems).

• OR 7+ years of IT-relevant work experience without a Bachelors degree.

• 4+ years of work experience with Full-stack Application Development (e.g., Java, Python, JavaScript, etc.).

• 3+ years of work experience with Data Structures, algorithms, and data stores.

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beBeeArtificialintelligence

Expert AI Developer

beBeeArtificialintelligence • Bengaluru, Karnataka • via BeBee

23 hours ago

₹20L–₹40L a year

Full–time

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Job description

AI/ML Engineer Job Description

We are seeking a highly skilled and passionate AI/ML Engineer to join our team of innovators. The successful candidate will be responsible for designing, developing, and deploying cutting-edge AI and machine learning models.

Key Responsibilities:

• Fine-tune and deploy large language models (LLMs) for core AI features across the product.

• Develop and optimize generative AI capabilities using diffusion models, LoRA, or similar frameworks.

• Continuously improve performance using prompt engineering, retrieval-augmented generation (RAG), and user feedback.

• Deploy AI workflows.

• Build scalable, production-ready AI workflows and pipelines using APIs, microservices, and vector databases.

• Translate prototypes into stable product features in collaboration with product and backend teams.

• Integrate AI systems into real-time and batch data processing layers.

Requirements:

• 2-3 years of experience in AI/ML Engineering.

• Strong Python skills with experience in frameworks like PyTorch or TensorFlow.

• Proven hands-on experience with LLMs, prompt engineering, or Generative AI models.

• Experience deploying models to production in a cloud environment (AWS/GCP/Azure).

• Comfortable with tools like HuggingFace, LangChain, or similar open-source stacks.

Benefits:

• Upskilling policy: access to courses, tools, and resources to keep learning and growing.

• Team outings: offsites and outings to celebrate milestones and build deeper bonds.

• Engagement initiatives: hackathons, open demos, and game nights – designed to spark creativity and fun.

• Flexible work-from-home policy: up to 12 days every 6 months.

• Menstrual WFH: up to 3 WFH days per month.

• Mobility benefits: relocation support and travel allowance for smooth onboarding.

• Parental support: maternity, paternity, and adoption leave.

About Us:

We are a world-class team of innovators committed to pushing the boundaries of AI and machine learning. Our company is dedicated to creating innovative solutions that make a real difference in people's lives.

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